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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 11996
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    Explanations

    computer science terms related to event handling and asynchronous requests

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events and asynchronous programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    iverpool
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    sheets
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    POSITIVE LOGITS
    Queue
    1.10
    Handler
    0.96
     notifications
    0.96
     queue
    0.94
     handler
    0.92
     pauses
    0.91
     callback
    0.90
     synchron
    0.88
     runtime
    0.88
     emitted
    0.87
    Activations Density 0.136%

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